Abstract
Currently, technological developments and scientific advances have driven the manufacturing industry. This allows processes to generate more quickly and efficiently. The machining process is carried out in conventional machines and tools where one or several people have different tasks. This entailed a risk for the personnel involved and the production times vary depending on the operator’s experience. The numerical control machines are a solution to these problems. However, this automatic process still needs human intervention to complete some tasks. Current, research in the area of artificial vision has improved the machining processes in order to meet the demand of the industry. This article presents the implementation of an artificial vision system within a machining process, Specifically looking for the zero point or reference for a CNC milling machine. The procedure is done manually and depending on the skill of the operator could generate delays in the machining process and showing differences in measurement due to initial calibration.
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Londoño Lopera, J.C., Goez Mora, J.E., Rico Mesa, E.M. (2018). Positioning of the Cutting Tool of a CNC Type Milling Machine by Means of Digital Image Processing. In: Serrano C., J., Martínez-Santos, J. (eds) Advances in Computing. CCC 2018. Communications in Computer and Information Science, vol 885. Springer, Cham. https://doi.org/10.1007/978-3-319-98998-3_25
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DOI: https://doi.org/10.1007/978-3-319-98998-3_25
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